Overview

Dataset statistics

Number of variables31
Number of observations2622
Missing cells687
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory617.2 KiB
Average record size in memory241.0 B

Variable types

Numeric29
Categorical1
Boolean1

Alerts

eventDate.date has a high cardinality: 227 distinct values High cardinality
hitsPM is highly correlated with accentedHitsPM and 4 other fieldsHigh correlation
accentedHitsPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
takedownsPM is highly correlated with takedownsSuccessfulPM and 1 other fieldsHigh correlation
accentedHitsDistancePM is highly correlated with hitsPM and 4 other fieldsHigh correlation
accentedHitsClinchPM is highly correlated with hitsSuccessfulPM and 3 other fieldsHigh correlation
accentedHitsParterPM is highly correlated with hitsSuccessfulPM and 2 other fieldsHigh correlation
hitsSuccessfulPM is highly correlated with hitsPM and 8 other fieldsHigh correlation
accentedHitsSuccessfulPM is highly correlated with hitsPM and 6 other fieldsHigh correlation
takedownsSuccessfulPM is highly correlated with takedownsPM and 1 other fieldsHigh correlation
accentedHitsDistanceSuccessfulPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
accentedHitsClinchSuccessfulPM is highly correlated with accentedHitsClinchPM and 3 other fieldsHigh correlation
accentedHitsParterSuccessfulPM is highly correlated with accentedHitsParterPM and 2 other fieldsHigh correlation
hitsSuccessful_percent is highly correlated with accentedHits_percent and 2 other fieldsHigh correlation
accentedHitsSuccessful_percent is highly correlated with accentedHitsPositionDistanceSuccessful_prcentHigh correlation
accentedHits_percent is highly correlated with hitsSuccessful_percent and 1 other fieldsHigh correlation
accentedHitsPositionDistanceSuccessful_prcent is highly correlated with hitsSuccessful_percent and 1 other fieldsHigh correlation
takedowns_to_hits is highly correlated with takedownsPM and 1 other fieldsHigh correlation
HitsPositionDistance_to_hits is highly correlated with hitsSuccessful_percent and 1 other fieldsHigh correlation
HitsPositionClinch_to_hits is highly correlated with accentedHitsClinchPM and 1 other fieldsHigh correlation
HitsPositionParter_to_hits is highly correlated with accentedHitsParterPM and 1 other fieldsHigh correlation
odd_diff is highly correlated with odd1 and 1 other fieldsHigh correlation
odd1 is highly correlated with odd_diff and 1 other fieldsHigh correlation
odd2 is highly correlated with odd_diff and 1 other fieldsHigh correlation
hitsPM is highly correlated with accentedHitsPM and 8 other fieldsHigh correlation
accentedHitsPM is highly correlated with hitsPM and 6 other fieldsHigh correlation
takedownsPM is highly correlated with takedownsSuccessfulPMHigh correlation
accentedHitsDistancePM is highly correlated with hitsPM and 4 other fieldsHigh correlation
accentedHitsClinchPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
accentedHitsParterPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
hitsSuccessfulPM is highly correlated with hitsPM and 8 other fieldsHigh correlation
accentedHitsSuccessfulPM is highly correlated with hitsPM and 8 other fieldsHigh correlation
takedownsSuccessfulPM is highly correlated with takedownsPMHigh correlation
accentedHitsDistanceSuccessfulPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
accentedHitsClinchSuccessfulPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
accentedHitsParterSuccessfulPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
hitsSuccessful_percent is highly correlated with accentedHits_percent and 1 other fieldsHigh correlation
accentedHitsSuccessful_percent is highly correlated with accentedHitsPositionDistanceSuccessful_prcentHigh correlation
accentedHits_percent is highly correlated with hitsSuccessful_percent and 1 other fieldsHigh correlation
accentedHitsPositionDistanceSuccessful_prcent is highly correlated with hitsSuccessful_percent and 1 other fieldsHigh correlation
HitsPositionDistance_to_hits is highly correlated with accentedHits_percentHigh correlation
HitsPositionParter_to_hits is highly correlated with accentedHitsParterPM and 1 other fieldsHigh correlation
odd_diff is highly correlated with odd1 and 1 other fieldsHigh correlation
odd1 is highly correlated with odd_diff and 1 other fieldsHigh correlation
odd2 is highly correlated with odd_diff and 1 other fieldsHigh correlation
hitsPM is highly correlated with accentedHitsPM and 4 other fieldsHigh correlation
accentedHitsPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
takedownsPM is highly correlated with takedownsSuccessfulPMHigh correlation
accentedHitsDistancePM is highly correlated with hitsPM and 3 other fieldsHigh correlation
accentedHitsClinchPM is highly correlated with accentedHitsClinchSuccessfulPMHigh correlation
accentedHitsParterPM is highly correlated with accentedHitsParterSuccessfulPM and 1 other fieldsHigh correlation
hitsSuccessfulPM is highly correlated with hitsPM and 2 other fieldsHigh correlation
accentedHitsSuccessfulPM is highly correlated with hitsPM and 4 other fieldsHigh correlation
takedownsSuccessfulPM is highly correlated with takedownsPM and 1 other fieldsHigh correlation
accentedHitsDistanceSuccessfulPM is highly correlated with hitsPM and 3 other fieldsHigh correlation
accentedHitsClinchSuccessfulPM is highly correlated with accentedHitsClinchPMHigh correlation
accentedHitsParterSuccessfulPM is highly correlated with accentedHitsParterPM and 1 other fieldsHigh correlation
accentedHitsSuccessful_percent is highly correlated with accentedHitsPositionDistanceSuccessful_prcentHigh correlation
accentedHits_percent is highly correlated with HitsPositionDistance_to_hitsHigh correlation
accentedHitsPositionDistanceSuccessful_prcent is highly correlated with accentedHitsSuccessful_percentHigh correlation
takedowns_to_hits is highly correlated with takedownsSuccessfulPMHigh correlation
HitsPositionDistance_to_hits is highly correlated with accentedHits_percentHigh correlation
HitsPositionParter_to_hits is highly correlated with accentedHitsParterPM and 1 other fieldsHigh correlation
odd_diff is highly correlated with odd1 and 1 other fieldsHigh correlation
odd1 is highly correlated with odd_diff and 1 other fieldsHigh correlation
odd2 is highly correlated with odd_diff and 1 other fieldsHigh correlation
hitsPM is highly correlated with accentedHitsPM and 10 other fieldsHigh correlation
accentedHitsPM is highly correlated with hitsPM and 10 other fieldsHigh correlation
takedownsPM is highly correlated with hitsPM and 8 other fieldsHigh correlation
accentedHitsDistancePM is highly correlated with hitsPM and 6 other fieldsHigh correlation
accentedHitsClinchPM is highly correlated with hitsPM and 10 other fieldsHigh correlation
accentedHitsParterPM is highly correlated with hitsPM and 9 other fieldsHigh correlation
hitsSuccessfulPM is highly correlated with hitsPM and 10 other fieldsHigh correlation
accentedHitsSuccessfulPM is highly correlated with hitsPM and 10 other fieldsHigh correlation
takedownsSuccessfulPM is highly correlated with hitsPM and 9 other fieldsHigh correlation
accentedHitsDistanceSuccessfulPM is highly correlated with hitsPM and 7 other fieldsHigh correlation
accentedHitsClinchSuccessfulPM is highly correlated with hitsPM and 10 other fieldsHigh correlation
accentedHitsParterSuccessfulPM is highly correlated with hitsPM and 9 other fieldsHigh correlation
hitsSuccessful_percent is highly correlated with accentedHitsSuccessful_percent and 1 other fieldsHigh correlation
accentedHitsSuccessful_percent is highly correlated with hitsSuccessful_percent and 2 other fieldsHigh correlation
accentedHits_percent is highly correlated with hitsSuccessful_percent and 2 other fieldsHigh correlation
accentedHitsPositionDistanceSuccessful_prcent is highly correlated with accentedHitsSuccessful_percentHigh correlation
HitsPositionDistance_to_hits is highly correlated with accentedHits_percent and 1 other fieldsHigh correlation
HitsPositionParter_to_hits is highly correlated with accentedHitsParterPM and 2 other fieldsHigh correlation
odd_diff is highly correlated with odd1 and 1 other fieldsHigh correlation
odd1 is highly correlated with odd_diffHigh correlation
odd2 is highly correlated with odd_diffHigh correlation
takedownSuccessful_percent has 235 (9.0%) missing values Missing
accentedHitsPositionClinchSuccessful_percent has 124 (4.7%) missing values Missing
accentedHitsPositionParterSuccessful_percent has 300 (11.4%) missing values Missing
Unnamed: 0 is uniformly distributed Uniform
eventDate.date is uniformly distributed Uniform
Unnamed: 0 has unique values Unique
hitsPM has unique values Unique
accentedHitsPM has unique values Unique
accentedHitsDistancePM has unique values Unique
accentedHitsSuccessfulPM has unique values Unique
accentedHitsDistanceSuccessfulPM has unique values Unique
hitsSuccessful_percent has unique values Unique
accentedHitsSuccessful_percent has unique values Unique
accentedHits_percent has unique values Unique
takedownsSuccessfulPM has 50 (1.9%) zeros Zeros
takedownSuccessful_percent has 29 (1.1%) zeros Zeros
takedowns_to_hits has 47 (1.8%) zeros Zeros

Reproduction

Analysis started2022-05-17 13:55:35.483333
Analysis finished2022-05-17 13:57:44.576866
Duration2 minutes and 9.09 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1310.5
Minimum0
Maximum2621
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2022-05-17T19:57:44.691873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile131.05
Q1655.25
median1310.5
Q31965.75
95-th percentile2489.95
Maximum2621
Range2621
Interquartile range (IQR)1310.5

Descriptive statistics

Standard deviation757.0505267
Coefficient of variation (CV)0.5776806766
Kurtosis-1.2
Mean1310.5
Median Absolute Deviation (MAD)655.5
Skewness0
Sum3436131
Variance573125.5
MonotonicityStrictly increasing
2022-05-17T19:57:44.836884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
< 0.1%
17611
 
< 0.1%
17431
 
< 0.1%
17441
 
< 0.1%
17451
 
< 0.1%
17461
 
< 0.1%
17471
 
< 0.1%
17481
 
< 0.1%
17491
 
< 0.1%
17501
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
01
< 0.1%
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
ValueCountFrequency (%)
26211
< 0.1%
26201
< 0.1%
26191
< 0.1%
26181
< 0.1%
26171
< 0.1%
26161
< 0.1%
26151
< 0.1%
26141
< 0.1%
26131
< 0.1%
26121
< 0.1%

hitsPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.666468841
Minimum-270.7940048
Maximum157.8361559
Zeros0
Zeros (%)0.0%
Negative1093
Negative (%)41.7%
Memory size20.6 KiB
2022-05-17T19:57:44.977907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-270.7940048
5-th percentile-27.12402413
Q1-6.806509217
median3.014990351
Q312.0483949
95-th percentile28.97143088
Maximum157.8361559
Range428.6301608
Interquartile range (IQR)18.85490412

Descriptive statistics

Standard deviation22.86554455
Coefficient of variation (CV)13.72095534
Kurtosis25.81150765
Mean1.666468841
Median Absolute Deviation (MAD)9.389821341
Skewness-2.547899522
Sum4369.481302
Variance522.8331274
MonotonicityNot monotonic
2022-05-17T19:57:45.114908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.537277941
 
< 0.1%
-5.2095741541
 
< 0.1%
31.613047111
 
< 0.1%
4.4320381091
 
< 0.1%
13.407659111
 
< 0.1%
-110.57346481
 
< 0.1%
7.3691325291
 
< 0.1%
0.74973843851
 
< 0.1%
6.3616319441
 
< 0.1%
20.291365431
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-270.79400481
< 0.1%
-250.63058041
< 0.1%
-220.81430371
< 0.1%
-190.1654391
< 0.1%
-179.50022891
< 0.1%
-158.57142861
< 0.1%
-142.12134081
< 0.1%
-141.97406511
< 0.1%
-133.0055971
< 0.1%
-117.60394021
< 0.1%
ValueCountFrequency (%)
157.83615591
< 0.1%
131.44819171
< 0.1%
114.10491221
< 0.1%
105.11956441
< 0.1%
100.17360571
< 0.1%
92.659259261
< 0.1%
88.419214121
< 0.1%
82.616482481
< 0.1%
78.821166131
< 0.1%
70.300172441
< 0.1%

accentedHitsPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.79027976
Minimum-170.8065542
Maximum144.3906405
Zeros0
Zeros (%)0.0%
Negative1085
Negative (%)41.4%
Memory size20.6 KiB
2022-05-17T19:57:45.250916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-170.8065542
5-th percentile-22.82322424
Q1-5.424188996
median3.033437378
Q310.93626734
95-th percentile25.76831681
Maximum144.3906405
Range315.1971947
Interquartile range (IQR)16.36045633

Descriptive statistics

Standard deviation18.78420756
Coefficient of variation (CV)10.49233085
Kurtosis15.13050825
Mean1.79027976
Median Absolute Deviation (MAD)8.158889342
Skewness-1.626191748
Sum4694.113532
Variance352.8464538
MonotonicityNot monotonic
2022-05-17T19:57:45.386925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.764268491
 
< 0.1%
-4.841968311
 
< 0.1%
25.500427161
 
< 0.1%
3.6428309321
 
< 0.1%
14.888665231
 
< 0.1%
-107.65640331
 
< 0.1%
7.7725955621
 
< 0.1%
3.8270728541
 
< 0.1%
10.527083331
 
< 0.1%
17.393557811
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-170.80655421
< 0.1%
-162.22320911
< 0.1%
-140.20187811
< 0.1%
-139.08325891
< 0.1%
-130.12510151
< 0.1%
-129.23742641
< 0.1%
-112.56759671
< 0.1%
-107.65640331
< 0.1%
-107.0339021
< 0.1%
-106.849191
< 0.1%
ValueCountFrequency (%)
144.39064051
< 0.1%
110.92193521
< 0.1%
99.975455821
< 0.1%
97.279827371
< 0.1%
83.437821951
< 0.1%
78.559790051
< 0.1%
77.591048951
< 0.1%
74.992850091
< 0.1%
67.693584131
< 0.1%
61.411607481
< 0.1%

takedownsPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2607
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01882789941
Minimum-17.20779663
Maximum7.788888889
Zeros10
Zeros (%)0.4%
Negative1286
Negative (%)49.0%
Memory size20.6 KiB
2022-05-17T19:57:45.531935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-17.20779663
5-th percentile-1.773442248
Q1-0.5596297639
median0.01460211634
Q30.5780460396
95-th percentile1.673594502
Maximum7.788888889
Range24.99668551
Interquartile range (IQR)1.137675803

Descriptive statistics

Standard deviation1.266132035
Coefficient of variation (CV)-67.24765237
Kurtosis33.54500398
Mean-0.01882789941
Median Absolute Deviation (MAD)0.570972155
Skewness-2.723465546
Sum-49.36675226
Variance1.603090329
MonotonicityNot monotonic
2022-05-17T19:57:45.675946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010
 
0.4%
0.63
 
0.1%
-1.3142857142
 
0.1%
0.952
 
0.1%
-22
 
0.1%
0.088888888892
 
0.1%
0.42230902781
 
< 0.1%
0.88724520521
 
< 0.1%
-2.5208633521
 
< 0.1%
-0.73844636311
 
< 0.1%
Other values (2597)2597
99.0%
ValueCountFrequency (%)
-17.207796631
< 0.1%
-16.275817821
< 0.1%
-11.667410711
< 0.1%
-11.071382181
< 0.1%
-9.5230634651
< 0.1%
-9.094382441
< 0.1%
-8.9304341311
< 0.1%
-8.6459893371
< 0.1%
-7.780219781
< 0.1%
-6.8104691361
< 0.1%
ValueCountFrequency (%)
7.7888888891
< 0.1%
7.7367259891
< 0.1%
5.4648093061
< 0.1%
4.7057657911
< 0.1%
4.4730084251
< 0.1%
4.3892729991
< 0.1%
4.2857142861
< 0.1%
4.2724675821
< 0.1%
3.9906228361
< 0.1%
3.9360841921
< 0.1%

accentedHitsDistancePM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.267474246
Minimum-113.4187786
Maximum127.2366033
Zeros0
Zeros (%)0.0%
Negative1094
Negative (%)41.7%
Memory size20.6 KiB
2022-05-17T19:57:45.812957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-113.4187786
5-th percentile-21.13878991
Q1-5.082236963
median2.204143282
Q39.26558702
95-th percentile21.60526132
Maximum127.2366033
Range240.6553819
Interquartile range (IQR)14.34782398

Descriptive statistics

Standard deviation15.87850769
Coefficient of variation (CV)12.52767678
Kurtosis11.38771466
Mean1.267474246
Median Absolute Deviation (MAD)7.156326154
Skewness-1.136333595
Sum3323.317474
Variance252.1270064
MonotonicityNot monotonic
2022-05-17T19:57:45.950967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6317404481
 
< 0.1%
-9.8954005151
 
< 0.1%
18.825927971
 
< 0.1%
5.250076091
 
< 0.1%
16.108617471
 
< 0.1%
-100.60044551
 
< 0.1%
6.5055358371
 
< 0.1%
-3.9781082351
 
< 0.1%
4.4801215281
 
< 0.1%
15.285571721
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-113.41877861
< 0.1%
-111.87469651
< 0.1%
-109.64354311
< 0.1%
-102.17566931
< 0.1%
-100.60044551
< 0.1%
-98.578471871
< 0.1%
-96.481400411
< 0.1%
-94.436877971
< 0.1%
-91.311924081
< 0.1%
-82.663322051
< 0.1%
ValueCountFrequency (%)
127.23660331
< 0.1%
107.51001791
< 0.1%
85.087119041
< 0.1%
72.875973661
< 0.1%
71.82971051
< 0.1%
71.540516791
< 0.1%
69.433801041
< 0.1%
56.80234921
< 0.1%
56.404730431
< 0.1%
50.946306561
< 0.1%

accentedHitsClinchPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2615
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01344327161
Minimum-37.99487179
Maximum14.04130764
Zeros3
Zeros (%)0.1%
Negative1205
Negative (%)46.0%
Memory size20.6 KiB
2022-05-17T19:57:46.087977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-37.99487179
5-th percentile-4.141266454
Q1-0.9918316361
median0.1517678054
Q31.240423126
95-th percentile3.735656404
Maximum14.04130764
Range52.03617943
Interquartile range (IQR)2.232254762

Descriptive statistics

Standard deviation2.893630007
Coefficient of variation (CV)-215.2474555
Kurtosis24.70966691
Mean-0.01344327161
Median Absolute Deviation (MAD)1.110616718
Skewness-2.476163763
Sum-35.24825816
Variance8.373094615
MonotonicityNot monotonic
2022-05-17T19:57:46.393001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
0.1%
12
 
0.1%
-0.14166666672
 
0.1%
-0.86666666672
 
0.1%
-0.22
 
0.1%
-2.4666666672
 
0.1%
-0.8828751
 
< 0.1%
1.3423636511
 
< 0.1%
-2.6856495871
 
< 0.1%
-5.4690213641
 
< 0.1%
Other values (2605)2605
99.4%
ValueCountFrequency (%)
-37.994871791
< 0.1%
-29.763776571
< 0.1%
-23.609151791
< 0.1%
-22.019678891
< 0.1%
-21.689393951
< 0.1%
-21.466666671
< 0.1%
-19.473051181
< 0.1%
-17.562215661
< 0.1%
-17.190056861
< 0.1%
-16.181456241
< 0.1%
ValueCountFrequency (%)
14.041307641
< 0.1%
12.59628671
< 0.1%
12.189382541
< 0.1%
11.497281111
< 0.1%
11.456098111
< 0.1%
11.1819811
< 0.1%
11.082438411
< 0.1%
11.043899611
< 0.1%
11.000111111
< 0.1%
10.7613831
< 0.1%

accentedHitsParterPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2607
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5362487854
Minimum-73.82236163
Maximum43.15708478
Zeros10
Zeros (%)0.4%
Negative1033
Negative (%)39.4%
Memory size20.6 KiB
2022-05-17T19:57:46.531011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-73.82236163
5-th percentile-4.507737315
Q1-0.919112782
median0.4827503074
Q32.054323659
95-th percentile6.259959728
Maximum43.15708478
Range116.9794464
Interquartile range (IQR)2.973436441

Descriptive statistics

Standard deviation4.596477396
Coefficient of variation (CV)8.571539034
Kurtosis51.04259152
Mean0.5362487854
Median Absolute Deviation (MAD)1.495102395
Skewness-2.870443699
Sum1406.044315
Variance21.12760445
MonotonicityNot monotonic
2022-05-17T19:57:46.673022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010
 
0.4%
0.13
 
0.1%
12
 
0.1%
-22
 
0.1%
1.82
 
0.1%
0.62
 
0.1%
1.8746333051
 
< 0.1%
4.1716858511
 
< 0.1%
4.1958181671
 
< 0.1%
3.1442063051
 
< 0.1%
Other values (2597)2597
99.0%
ValueCountFrequency (%)
-73.822361631
< 0.1%
-52.838769051
< 0.1%
-51.414732141
< 0.1%
-41.689959941
< 0.1%
-31.699897171
< 0.1%
-29.947224091
< 0.1%
-29.277777781
< 0.1%
-29.054873511
< 0.1%
-24.029024481
< 0.1%
-20.719282991
< 0.1%
ValueCountFrequency (%)
43.157084781
< 0.1%
35.68713451
< 0.1%
27.170758931
< 0.1%
23.162097881
< 0.1%
21.86896881
< 0.1%
21.443417431
< 0.1%
20.755174261
< 0.1%
19.980134231
< 0.1%
17.700396831
< 0.1%
17.692073631
< 0.1%

hitsSuccessfulPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2621
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9405068952
Minimum-162.1393574
Maximum95.08564502
Zeros0
Zeros (%)0.0%
Negative1060
Negative (%)40.4%
Memory size20.6 KiB
2022-05-17T19:57:46.822034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-162.1393574
5-th percentile-16.55283355
Q1-3.464900384
median1.734964388
Q36.712803203
95-th percentile17.4125034
Maximum95.08564502
Range257.2250024
Interquartile range (IQR)10.17770359

Descriptive statistics

Standard deviation13.83532354
Coefficient of variation (CV)14.71049666
Kurtosis31.16260318
Mean0.9405068952
Median Absolute Deviation (MAD)5.094162002
Skewness-2.980511427
Sum2466.009079
Variance191.4161774
MonotonicityNot monotonic
2022-05-17T19:57:46.982423image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.42
 
0.1%
14.205776421
 
< 0.1%
6.3642060051
 
< 0.1%
21.619904341
 
< 0.1%
3.8621715191
 
< 0.1%
3.0367522531
 
< 0.1%
-56.586874511
 
< 0.1%
4.7725942041
 
< 0.1%
-1.1891119511
 
< 0.1%
1.3774305561
 
< 0.1%
Other values (2611)2611
99.6%
ValueCountFrequency (%)
-162.13935741
< 0.1%
-154.28727681
< 0.1%
-154.28571431
< 0.1%
-131.46797051
< 0.1%
-115.0961311
< 0.1%
-107.65296131
< 0.1%
-91.782566331
< 0.1%
-82.008611311
< 0.1%
-80.38940911
< 0.1%
-76.901865591
< 0.1%
ValueCountFrequency (%)
95.085645021
< 0.1%
87.340173521
< 0.1%
65.811111111
< 0.1%
62.97776061
< 0.1%
58.807622441
< 0.1%
53.431633691
< 0.1%
52.782543351
< 0.1%
49.046540181
< 0.1%
44.678411741
< 0.1%
43.333489281
< 0.1%

accentedHitsSuccessfulPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.081061424
Minimum-93.2496715
Maximum74.93794391
Zeros0
Zeros (%)0.0%
Negative1019
Negative (%)38.9%
Memory size20.6 KiB
2022-05-17T19:57:47.137436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-93.2496715
5-th percentile-10.96896792
Q1-2.523840937
median1.625616795
Q35.254196728
95-th percentile13.07233814
Maximum74.93794391
Range168.1876154
Interquartile range (IQR)7.778037665

Descriptive statistics

Standard deviation9.521714755
Coefficient of variation (CV)8.807746295
Kurtosis17.89563269
Mean1.081061424
Median Absolute Deviation (MAD)3.859498077
Skewness-1.781573262
Sum2834.543055
Variance90.66305187
MonotonicityNot monotonic
2022-05-17T19:57:47.288446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4786509151
 
< 0.1%
4.0849424831
 
< 0.1%
16.235376611
 
< 0.1%
3.1490109151
 
< 0.1%
4.6314761981
 
< 0.1%
-53.90219651
 
< 0.1%
5.0067486651
 
< 0.1%
0.99414866761
 
< 0.1%
5.4766493061
 
< 0.1%
8.3533919541
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-93.24967151
< 0.1%
-78.668022721
< 0.1%
-69.547991671
< 0.1%
-68.571428571
< 0.1%
-65.810919531
< 0.1%
-63.881219411
< 0.1%
-63.532055581
< 0.1%
-63.022991071
< 0.1%
-61.895134681
< 0.1%
-54.713515181
< 0.1%
ValueCountFrequency (%)
74.937943911
< 0.1%
63.972432171
< 0.1%
55.724071931
< 0.1%
55.536981931
< 0.1%
40.126697671
< 0.1%
38.347829081
< 0.1%
37.142033141
< 0.1%
36.718071471
< 0.1%
33.668169431
< 0.1%
32.121682591
< 0.1%

takedownsSuccessfulPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2525
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02061139068
Minimum-13.76785714
Maximum4.285714286
Zeros50
Zeros (%)1.9%
Negative1141
Negative (%)43.5%
Memory size20.6 KiB
2022-05-17T19:57:47.436457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-13.76785714
5-th percentile-0.6631591803
Q1-0.1732718248
median0.03874314688
Q30.24100966
95-th percentile0.78532967
Maximum4.285714286
Range18.05357143
Interquartile range (IQR)0.4142814848

Descriptive statistics

Standard deviation0.6534360625
Coefficient of variation (CV)31.70266736
Kurtosis135.3087388
Mean0.02061139068
Median Absolute Deviation (MAD)0.2082972598
Skewness-7.724016551
Sum54.04306636
Variance0.4269786878
MonotonicityNot monotonic
2022-05-17T19:57:47.587469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
050
 
1.9%
-0.26
 
0.2%
0.25
 
0.2%
0.14
 
0.2%
0.088888888894
 
0.2%
0.154
 
0.2%
0.64
 
0.2%
0.13333333333
 
0.1%
-0.63
 
0.1%
-0.33
 
0.1%
Other values (2515)2536
96.7%
ValueCountFrequency (%)
-13.767857141
< 0.1%
-10.915534251
< 0.1%
-8.8238202311
< 0.1%
-8.571726191
< 0.1%
-6.5785956011
< 0.1%
-5.1814223511
< 0.1%
-2.7221548051
< 0.1%
-2.6444828811
< 0.1%
-2.6358299051
< 0.1%
-2.6013563161
< 0.1%
ValueCountFrequency (%)
4.2857142861
< 0.1%
2.3363839291
< 0.1%
2.2762398431
< 0.1%
2.2461232221
< 0.1%
2.1099525041
< 0.1%
1.9513939511
< 0.1%
1.9491071431
< 0.1%
1.8789459421
< 0.1%
1.8555555561
< 0.1%
1.7771439251
< 0.1%

accentedHitsDistanceSuccessfulPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7219801791
Minimum-65.63522488
Maximum61.73621679
Zeros1
Zeros (%)< 0.1%
Negative1040
Negative (%)39.7%
Memory size20.6 KiB
2022-05-17T19:57:47.752482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-65.63522488
5-th percentile-8.405055804
Q1-1.956060875
median1.064691266
Q33.856422315
95-th percentile9.421594755
Maximum61.73621679
Range127.3714417
Interquartile range (IQR)5.81248319

Descriptive statistics

Standard deviation7.101469133
Coefficient of variation (CV)9.836099853
Kurtosis17.79897852
Mean0.7219801791
Median Absolute Deviation (MAD)2.913954151
Skewness-1.435061345
Sum1893.03203
Variance50.43086385
MonotonicityNot monotonic
2022-05-17T19:57:47.915494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.7110351541
 
< 0.1%
0.15829648731
 
< 0.1%
10.258406341
 
< 0.1%
3.7688518991
 
< 0.1%
5.8137071441
 
< 0.1%
-48.009895631
 
< 0.1%
4.1829987091
 
< 0.1%
-3.9179475881
 
< 0.1%
1.4026909721
 
< 0.1%
6.9443235511
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-65.635224881
< 0.1%
-56.540708191
< 0.1%
-53.631564051
< 0.1%
-51.885309631
< 0.1%
-51.521559021
< 0.1%
-48.009895631
< 0.1%
-45.904728881
< 0.1%
-45.679531471
< 0.1%
-43.905402281
< 0.1%
-41.524735951
< 0.1%
ValueCountFrequency (%)
61.736216791
< 0.1%
53.085527081
< 0.1%
45.803127761
< 0.1%
37.576233651
< 0.1%
30.560684861
< 0.1%
29.998541971
< 0.1%
29.227581691
< 0.1%
29.051077081
< 0.1%
27.23201741
< 0.1%
26.722984231
< 0.1%

accentedHitsClinchSuccessfulPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2610
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01908366891
Minimum-25.44127473
Maximum11.17946263
Zeros4
Zeros (%)0.2%
Negative1189
Negative (%)45.3%
Memory size20.6 KiB
2022-05-17T19:57:48.116509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-25.44127473
5-th percentile-3.128523129
Q1-0.724614059
median0.1203287826
Q30.8936446865
95-th percentile2.780882427
Maximum11.17946263
Range36.62073736
Interquartile range (IQR)1.618258746

Descriptive statistics

Standard deviation2.126433134
Coefficient of variation (CV)-111.4268511
Kurtosis22.77826209
Mean-0.01908366891
Median Absolute Deviation (MAD)0.8135851502
Skewness-2.52564104
Sum-50.03737989
Variance4.521717875
MonotonicityNot monotonic
2022-05-17T19:57:48.295852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04
 
0.2%
0.44
 
0.2%
0.23
 
0.1%
-1.13
 
0.1%
0.52
 
0.1%
0.052
 
0.1%
0.44401041671
 
< 0.1%
3.1349664651
 
< 0.1%
-0.010363831241
 
< 0.1%
-2.2540987321
 
< 0.1%
Other values (2600)2600
99.2%
ValueCountFrequency (%)
-25.441274731
< 0.1%
-21.505555561
< 0.1%
-19.733333331
< 0.1%
-18.903674431
< 0.1%
-16.729464291
< 0.1%
-14.554586391
< 0.1%
-12.857142861
< 0.1%
-12.761037331
< 0.1%
-12.710754511
< 0.1%
-12.192314751
< 0.1%
ValueCountFrequency (%)
11.179462631
< 0.1%
9.2193221071
< 0.1%
8.5222222221
< 0.1%
8.2120238191
< 0.1%
7.8431805791
< 0.1%
7.6626136591
< 0.1%
7.4611507421
< 0.1%
7.3747224451
< 0.1%
7.0450520831
< 0.1%
6.8919305021
< 0.1%

accentedHitsParterSuccessfulPM
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2601
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3781649142
Minimum-41.80403544
Maximum34.09217987
Zeros15
Zeros (%)0.6%
Negative1035
Negative (%)39.5%
Memory size20.6 KiB
2022-05-17T19:57:48.475882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-41.80403544
5-th percentile-3.477343472
Q1-0.6443303025
median0.3204650564
Q31.452893512
95-th percentile4.504682409
Maximum34.09217987
Range75.89621531
Interquartile range (IQR)2.097223815

Descriptive statistics

Standard deviation3.272353272
Coefficient of variation (CV)8.653243992
Kurtosis36.375313
Mean0.3781649142
Median Absolute Deviation (MAD)1.046701632
Skewness-1.909086313
Sum991.548405
Variance10.70829594
MonotonicityNot monotonic
2022-05-17T19:57:48.639482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
0.6%
13
 
0.1%
-1.43
 
0.1%
0.13
 
0.1%
-0.22
 
0.1%
1.8079666381
 
< 0.1%
-0.52696472411
 
< 0.1%
3.2847294331
 
< 0.1%
2.84200381
 
< 0.1%
-0.60947715351
 
< 0.1%
Other values (2591)2591
98.8%
ValueCountFrequency (%)
-41.804035441
< 0.1%
-37.6251
< 0.1%
-30.83576371
< 0.1%
-30.281880931
< 0.1%
-26.218130041
< 0.1%
-25.714285711
< 0.1%
-23.644626211
< 0.1%
-22.71101191
< 0.1%
-17.451
< 0.1%
-14.896499671
< 0.1%
ValueCountFrequency (%)
34.092179871
< 0.1%
24.473684211
< 0.1%
21.391183041
< 0.1%
16.819756711
< 0.1%
16.288499031
< 0.1%
14.536220731
< 0.1%
13.930357141
< 0.1%
13.517689491
< 0.1%
13.332501941
< 0.1%
13.214814811
< 0.1%

hitsSuccessful_percent
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009792432911
Minimum-0.5491252023
Maximum0.6723537542
Zeros0
Zeros (%)0.0%
Negative1246
Negative (%)47.5%
Memory size20.6 KiB
2022-05-17T19:57:48.947520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5491252023
5-th percentile-0.2070102649
Q1-0.07362685319
median0.007619000409
Q30.09192353109
95-th percentile0.2219856843
Maximum0.6723537542
Range1.221478957
Interquartile range (IQR)0.1655503843

Descriptive statistics

Standard deviation0.1333200542
Coefficient of variation (CV)13.6145997
Kurtosis1.214816532
Mean0.009792432911
Median Absolute Deviation (MAD)0.0828344894
Skewness0.08700391593
Sum25.67575909
Variance0.01777423684
MonotonicityNot monotonic
2022-05-17T19:57:49.098529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.67235375421
 
< 0.1%
0.098834918281
 
< 0.1%
0.093948972921
 
< 0.1%
0.12717707561
 
< 0.1%
-0.074053666071
 
< 0.1%
-0.022570411341
 
< 0.1%
0.053761430521
 
< 0.1%
-0.02172925461
 
< 0.1%
-0.078315236971
 
< 0.1%
0.11740306151
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-0.54912520231
< 0.1%
-0.53318216571
< 0.1%
-0.48511064331
< 0.1%
-0.44956559011
< 0.1%
-0.44475099921
< 0.1%
-0.44220669121
< 0.1%
-0.41745283021
< 0.1%
-0.41145465161
< 0.1%
-0.40459932951
< 0.1%
-0.40356966021
< 0.1%
ValueCountFrequency (%)
0.67235375421
< 0.1%
0.56103304231
< 0.1%
0.55084486751
< 0.1%
0.54051899911
< 0.1%
0.53201323191
< 0.1%
0.52110253311
< 0.1%
0.50842542221
< 0.1%
0.46551710871
< 0.1%
0.46494099891
< 0.1%
0.45076851481
< 0.1%

accentedHitsSuccessful_percent
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01788447493
Minimum-0.658429103
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative1161
Negative (%)44.3%
Memory size20.6 KiB
2022-05-17T19:57:49.264530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.658429103
5-th percentile-0.1717400769
Q1-0.05437295677
median0.01484024446
Q30.09351714052
95-th percentile0.205303656
Maximum0.5
Range1.158429103
Interquartile range (IQR)0.1478900973

Descriptive statistics

Standard deviation0.1178868332
Coefficient of variation (CV)6.59157362
Kurtosis1.248219777
Mean0.01788447493
Median Absolute Deviation (MAD)0.07334568871
Skewness-0.04917254368
Sum46.89309326
Variance0.01389730543
MonotonicityNot monotonic
2022-05-17T19:57:49.459544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.49292513821
 
< 0.1%
0.15386198181
 
< 0.1%
0.050412353461
 
< 0.1%
0.11702785871
 
< 0.1%
-0.0078831138071
 
< 0.1%
-0.047353442181
 
< 0.1%
0.046269206561
 
< 0.1%
0.014013437191
 
< 0.1%
0.083917672431
 
< 0.1%
0.049750446951
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-0.6584291031
< 0.1%
-0.54638528141
< 0.1%
-0.53026870241
< 0.1%
-0.46596320351
< 0.1%
-0.40739708051
< 0.1%
-0.40714989651
< 0.1%
-0.36880015671
< 0.1%
-0.36159360951
< 0.1%
-0.35117228161
< 0.1%
-0.33825659841
< 0.1%
ValueCountFrequency (%)
0.51
< 0.1%
0.49292513821
< 0.1%
0.48138488961
< 0.1%
0.45347043281
< 0.1%
0.43883862111
< 0.1%
0.40329860041
< 0.1%
0.40131942191
< 0.1%
0.3915748381
< 0.1%
0.38956874071
< 0.1%
0.38913856141
< 0.1%

accentedHits_percent
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct2622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007822641644
Minimum-0.5533786386
Maximum0.8585810761
Zeros0
Zeros (%)0.0%
Negative1297
Negative (%)49.5%
Memory size20.6 KiB
2022-05-17T19:57:49.625556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5533786386
5-th percentile-0.2143651213
Q1-0.07977740323
median0.002300974226
Q30.08986667556
95-th percentile0.2525566931
Maximum0.8585810761
Range1.411959715
Interquartile range (IQR)0.1696440788

Descriptive statistics

Standard deviation0.1449315205
Coefficient of variation (CV)18.52718393
Kurtosis1.976591002
Mean0.007822641644
Median Absolute Deviation (MAD)0.08531846871
Skewness0.4247290508
Sum20.51096639
Variance0.02100514565
MonotonicityNot monotonic
2022-05-17T19:57:49.769569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.21206750491
 
< 0.1%
0.074997817441
 
< 0.1%
-0.03624457571
 
< 0.1%
0.0023662247581
 
< 0.1%
0.063990119931
 
< 0.1%
-0.032373949421
 
< 0.1%
0.014868003971
 
< 0.1%
0.039834480591
 
< 0.1%
0.17314147561
 
< 0.1%
-0.078180157481
 
< 0.1%
Other values (2612)2612
99.6%
ValueCountFrequency (%)
-0.55337863861
< 0.1%
-0.55011261261
< 0.1%
-0.5276798471
< 0.1%
-0.51791550611
< 0.1%
-0.45605108961
< 0.1%
-0.44595650691
< 0.1%
-0.42531732361
< 0.1%
-0.42313503531
< 0.1%
-0.41903586941
< 0.1%
-0.41139444241
< 0.1%
ValueCountFrequency (%)
0.85858107611
< 0.1%
0.83333333331
< 0.1%
0.69226775671
< 0.1%
0.63367086841
< 0.1%
0.6232025381
< 0.1%
0.56660977831
< 0.1%
0.56120094941
< 0.1%
0.54490346751
< 0.1%
0.53946146921
< 0.1%
0.52444535541
< 0.1%

takedownSuccessful_percent
Real number (ℝ)

MISSING
ZEROS

Distinct2216
Distinct (%)92.8%
Missing235
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean0.04632582714
Minimum-1
Maximum1
Zeros29
Zeros (%)1.1%
Negative1042
Negative (%)39.7%
Memory size20.6 KiB
2022-05-17T19:57:49.943580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5009902263
Q1-0.1606512657
median0.04054218107
Q30.2673350694
95-th percentile0.5871494079
Maximum1
Range2
Interquartile range (IQR)0.4279863352

Descriptive statistics

Standard deviation0.3333183374
Coefficient of variation (CV)7.195086585
Kurtosis0.1532399485
Mean0.04632582714
Median Absolute Deviation (MAD)0.2125153035
Skewness-0.03680397569
Sum110.5797494
Variance0.111101114
MonotonicityNot monotonic
2022-05-17T19:57:50.107591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029
 
1.1%
0.333333333316
 
0.6%
0.59
 
0.3%
-18
 
0.3%
0.757
 
0.3%
17
 
0.3%
-0.257
 
0.3%
-0.33333333336
 
0.2%
0.16666666675
 
0.2%
0.1254
 
0.2%
Other values (2206)2289
87.3%
(Missing)235
 
9.0%
ValueCountFrequency (%)
-18
0.3%
-0.88888888891
 
< 0.1%
-0.88281251
 
< 0.1%
-0.87577160491
 
< 0.1%
-0.8751
 
< 0.1%
-0.86666666671
 
< 0.1%
-0.84276303851
 
< 0.1%
-0.83809523811
 
< 0.1%
-0.83333333331
 
< 0.1%
-0.80681818181
 
< 0.1%
ValueCountFrequency (%)
17
0.3%
0.96666666671
 
< 0.1%
0.962
 
0.1%
0.93752
 
0.1%
0.92857142861
 
< 0.1%
0.92857142861
 
< 0.1%
0.92813357341
 
< 0.1%
0.92592592591
 
< 0.1%
0.91071428571
 
< 0.1%
0.9089843751
 
< 0.1%

accentedHitsPositionDistanceSuccessful_prcent
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2610
Distinct (%)100.0%
Missing12
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-0.1210840396
Minimum-15.71323877
Maximum6.86564106
Zeros1
Zeros (%)< 0.1%
Negative1340
Negative (%)51.1%
Memory size20.6 KiB
2022-05-17T19:57:50.265605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-15.71323877
5-th percentile-2.117534142
Q1-0.6989641593
median-0.0312154484
Q30.5906648501
95-th percentile1.590525926
Maximum6.86564106
Range22.57887982
Interquartile range (IQR)1.289629009

Descriptive statistics

Standard deviation1.333572025
Coefficient of variation (CV)-11.013607
Kurtosis15.9146723
Mean-0.1210840396
Median Absolute Deviation (MAD)0.6416019397
Skewness-1.778204364
Sum-316.0293432
Variance1.778414347
MonotonicityNot monotonic
2022-05-17T19:57:50.402615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.2696850951
 
< 0.1%
-0.020966772471
 
< 0.1%
0.44385798571
 
< 0.1%
-0.74756438691
 
< 0.1%
0.6026774111
 
< 0.1%
0.57742126281
 
< 0.1%
0.0016827243721
 
< 0.1%
-1.2988655091
 
< 0.1%
-0.16098967361
 
< 0.1%
-2.1495850281
 
< 0.1%
Other values (2600)2600
99.2%
(Missing)12
 
0.5%
ValueCountFrequency (%)
-15.713238771
< 0.1%
-13.256865591
< 0.1%
-10.019548541
< 0.1%
-9.7562445921
< 0.1%
-8.282365861
< 0.1%
-6.6122753391
< 0.1%
-6.3223116191
< 0.1%
-6.3098038921
< 0.1%
-6.3067954491
< 0.1%
-5.9416874431
< 0.1%
ValueCountFrequency (%)
6.865641061
< 0.1%
6.4710424711
< 0.1%
6.4311403511
< 0.1%
5.1678220241
< 0.1%
4.6192037431
< 0.1%
4.2951949241
< 0.1%
4.1578385071
< 0.1%
4.154480551
< 0.1%
3.9928571431
< 0.1%
3.9413919411
< 0.1%
Distinct2462
Distinct (%)98.6%
Missing124
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean-0.00522399531
Minimum-3.571428571
Maximum2.228395062
Zeros2
Zeros (%)0.1%
Negative1207
Negative (%)46.0%
Memory size20.6 KiB
2022-05-17T19:57:50.537625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3.571428571
5-th percentile-0.933827287
Q1-0.288247763
median0.01903674034
Q30.3281060381
95-th percentile0.8282906759
Maximum2.228395062
Range5.799823633
Interquartile range (IQR)0.6163538011

Descriptive statistics

Standard deviation0.5594844171
Coefficient of variation (CV)-107.0989509
Kurtosis2.715406225
Mean-0.00522399531
Median Absolute Deviation (MAD)0.3081349206
Skewness-0.5119396612
Sum-13.04954028
Variance0.3130228129
MonotonicityNot monotonic
2022-05-17T19:57:50.676635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16
 
0.2%
0.254
 
0.2%
0.33333333333
 
0.1%
0.45833333333
 
0.1%
0.753
 
0.1%
0.44285714292
 
0.1%
0.16666666672
 
0.1%
-0.16666666672
 
0.1%
0.064285714292
 
0.1%
0.77083333332
 
0.1%
Other values (2452)2469
94.2%
(Missing)124
 
4.7%
ValueCountFrequency (%)
-3.5714285711
< 0.1%
-2.9583333331
< 0.1%
-2.8758370541
< 0.1%
-2.6522873851
< 0.1%
-2.5177626611
< 0.1%
-2.3343751
< 0.1%
-2.281062611
< 0.1%
-2.0911437631
< 0.1%
-2.0270512821
< 0.1%
-1.9668091171
< 0.1%
ValueCountFrequency (%)
2.2283950621
< 0.1%
2.1098484851
< 0.1%
2.0833333331
< 0.1%
2.0729166671
< 0.1%
2.0692640691
< 0.1%
22
0.1%
1.870370371
< 0.1%
1.7688888891
< 0.1%
1.7681640621
< 0.1%
1.749174871
< 0.1%
Distinct2250
Distinct (%)96.9%
Missing300
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean-0.006110788247
Minimum-8.333333333
Maximum8.718181818
Zeros10
Zeros (%)0.4%
Negative1139
Negative (%)43.4%
Memory size20.6 KiB
2022-05-17T19:57:50.837651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-8.333333333
5-th percentile-0.8500392692
Q1-0.2892015537
median0.00624180507
Q30.2781073072
95-th percentile0.7693046501
Maximum8.718181818
Range17.05151515
Interquartile range (IQR)0.5673088609

Descriptive statistics

Standard deviation0.6385886301
Coefficient of variation (CV)-104.5018424
Kurtosis35.21062844
Mean-0.006110788247
Median Absolute Deviation (MAD)0.2854814432
Skewness0.5189670458
Sum-14.18925031
Variance0.4077954385
MonotonicityNot monotonic
2022-05-17T19:57:50.996660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010
 
0.4%
17
 
0.3%
-0.256
 
0.2%
0.56
 
0.2%
0.33333333334
 
0.2%
-0.16666666673
 
0.1%
-0.38888888893
 
0.1%
-0.33333333333
 
0.1%
-0.1253
 
0.1%
-0.8753
 
0.1%
Other values (2240)2274
86.7%
(Missing)300
 
11.4%
ValueCountFrequency (%)
-8.3333333331
< 0.1%
-4.8181818181
< 0.1%
-3.1361111111
< 0.1%
-3.1259047621
< 0.1%
-3.1201071871
< 0.1%
-2.874346371
< 0.1%
-2.6379010421
< 0.1%
-2.539743591
< 0.1%
-2.4921813241
< 0.1%
-2.319963371
< 0.1%
ValueCountFrequency (%)
8.7181818181
< 0.1%
4.8798611111
< 0.1%
4.7409502261
< 0.1%
4.5972222221
< 0.1%
3.7250823051
< 0.1%
3.4315108761
< 0.1%
3.3888888891
< 0.1%
3.1961934161
< 0.1%
2.8823529411
< 0.1%
2.8513265041
< 0.1%

takedowns_to_hits
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2564
Distinct (%)97.9%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.0008119222869
Minimum-0.7414366461
Maximum0.2478736652
Zeros47
Zeros (%)1.8%
Negative1193
Negative (%)45.5%
Memory size20.6 KiB
2022-05-17T19:57:51.168673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.7414366461
5-th percentile-0.06324588967
Q1-0.01460022262
median0.00127753888
Q30.01912826856
95-th percentile0.06508366234
Maximum0.2478736652
Range0.9893103114
Interquartile range (IQR)0.03372849118

Descriptive statistics

Standard deviation0.04897808932
Coefficient of variation (CV)60.32361731
Kurtosis46.46078472
Mean0.0008119222869
Median Absolute Deviation (MAD)0.01665282802
Skewness-3.288487795
Sum2.125612547
Variance0.002398853233
MonotonicityNot monotonic
2022-05-17T19:57:51.505697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
047
 
1.8%
0.0252
 
0.1%
0.16666666672
 
0.1%
0.0070921985822
 
0.1%
0.00031252
 
0.1%
-0.045454545452
 
0.1%
0.052
 
0.1%
0.02439024392
 
0.1%
0.0041666666672
 
0.1%
0.0071161036941
 
< 0.1%
Other values (2554)2554
97.4%
(Missing)4
 
0.2%
ValueCountFrequency (%)
-0.74143664611
< 0.1%
-0.67644678171
< 0.1%
-0.51862783681
< 0.1%
-0.49034916231
< 0.1%
-0.35261149681
< 0.1%
-0.2731099781
< 0.1%
-0.251
< 0.1%
-0.24823578711
< 0.1%
-0.23426889181
< 0.1%
-0.19595213771
< 0.1%
ValueCountFrequency (%)
0.24787366521
< 0.1%
0.2393004981
< 0.1%
0.2386523131
< 0.1%
0.23389107591
< 0.1%
0.23098690371
< 0.1%
0.23042289491
< 0.1%
0.2132448441
< 0.1%
0.21195416271
< 0.1%
0.20717943321
< 0.1%
0.19087708721
< 0.1%

HitsPositionDistance_to_hits
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2618
Distinct (%)100.0%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.001650216371
Minimum-0.8660458593
Maximum0.8066867773
Zeros1
Zeros (%)< 0.1%
Negative1296
Negative (%)49.4%
Memory size20.6 KiB
2022-05-17T19:57:51.667710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.8660458593
5-th percentile-0.35764975
Q1-0.1457390557
median0.002461418117
Q30.1584985643
95-th percentile0.3657623116
Maximum0.8066867773
Range1.672732637
Interquartile range (IQR)0.30423762

Descriptive statistics

Standard deviation0.224179355
Coefficient of variation (CV)135.8484614
Kurtosis0.1466504844
Mean0.001650216371
Median Absolute Deviation (MAD)0.1516750241
Skewness-0.06477900208
Sum4.320266458
Variance0.05025638321
MonotonicityNot monotonic
2022-05-17T19:57:51.839722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.26857295481
 
< 0.1%
0.13114975431
 
< 0.1%
0.22600084771
 
< 0.1%
-0.043677079611
 
< 0.1%
0.16578001121
 
< 0.1%
-0.23291565721
 
< 0.1%
0.040548500881
 
< 0.1%
-0.025947578321
 
< 0.1%
0.12968471161
 
< 0.1%
0.05523857221
 
< 0.1%
Other values (2608)2608
99.5%
(Missing)4
 
0.2%
ValueCountFrequency (%)
-0.86604585931
< 0.1%
-0.86040532371
< 0.1%
-0.75202789781
< 0.1%
-0.74410535061
< 0.1%
-0.73208535411
< 0.1%
-0.70525232841
< 0.1%
-0.6914891991
< 0.1%
-0.66093129961
< 0.1%
-0.65023825871
< 0.1%
-0.63363456461
< 0.1%
ValueCountFrequency (%)
0.80668677731
< 0.1%
0.74162773271
< 0.1%
0.69995260021
< 0.1%
0.66163812231
< 0.1%
0.65126486741
< 0.1%
0.62737093151
< 0.1%
0.62703842541
< 0.1%
0.62432534031
< 0.1%
0.62387341331
< 0.1%
0.61870923061
< 0.1%

HitsPositionClinch_to_hits
Real number (ℝ)

HIGH CORRELATION

Distinct2615
Distinct (%)99.9%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean-0.006792284577
Minimum-0.9465626508
Maximum0.4545454545
Zeros4
Zeros (%)0.2%
Negative1303
Negative (%)49.7%
Memory size20.6 KiB
2022-05-17T19:57:51.993733image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.9465626508
5-th percentile-0.1593828238
Q1-0.05414728996
median0.000136799292
Q30.04798458822
95-th percentile0.1249491868
Maximum0.4545454545
Range1.401108105
Interquartile range (IQR)0.1021318782

Descriptive statistics

Standard deviation0.09546499646
Coefficient of variation (CV)-14.05491707
Kurtosis11.0538358
Mean-0.006792284577
Median Absolute Deviation (MAD)0.05086988959
Skewness-1.320884803
Sum-17.78220102
Variance0.009113565548
MonotonicityNot monotonic
2022-05-17T19:57:52.138746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04
 
0.2%
0.060972398451
 
< 0.1%
-0.027103222311
 
< 0.1%
-0.041187886011
 
< 0.1%
0.11485107311
 
< 0.1%
0.030285690321
 
< 0.1%
-0.031876040241
 
< 0.1%
0.11817797091
 
< 0.1%
0.063352910831
 
< 0.1%
0.031265829991
 
< 0.1%
Other values (2605)2605
99.4%
(Missing)4
 
0.2%
ValueCountFrequency (%)
-0.94656265081
< 0.1%
-0.94298217631
< 0.1%
-0.82494499451
< 0.1%
-0.56456537291
< 0.1%
-0.51745237851
< 0.1%
-0.48514864391
< 0.1%
-0.43354713041
< 0.1%
-0.40466299031
< 0.1%
-0.37115691331
< 0.1%
-0.34289508291
< 0.1%
ValueCountFrequency (%)
0.45454545451
< 0.1%
0.45098898531
< 0.1%
0.41852651471
< 0.1%
0.37209442241
< 0.1%
0.33321160041
< 0.1%
0.32283480171
< 0.1%
0.31061083691
< 0.1%
0.30948597421
< 0.1%
0.30785373551
< 0.1%
0.29743472581
< 0.1%

HitsPositionParter_to_hits
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2605
Distinct (%)99.5%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.02107727913
Minimum-0.6029069861
Maximum0.7623542907
Zeros14
Zeros (%)0.5%
Negative1083
Negative (%)41.3%
Memory size20.6 KiB
2022-05-17T19:57:52.289755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-0.6029069861
5-th percentile-0.1438160617
Q1-0.03911743945
median0.01754507534
Q30.08442448946
95-th percentile0.193871361
Maximum0.7623542907
Range1.365261277
Interquartile range (IQR)0.1235419289

Descriptive statistics

Standard deviation0.1080302779
Coefficient of variation (CV)5.125437549
Kurtosis3.060351637
Mean0.02107727913
Median Absolute Deviation (MAD)0.06219793691
Skewness-0.08049202545
Sum55.18031675
Variance0.01167054094
MonotonicityNot monotonic
2022-05-17T19:57:52.431766image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
014
 
0.5%
0.076477297731
 
< 0.1%
-0.090709332761
 
< 0.1%
0.037869655651
 
< 0.1%
0.012561612581
 
< 0.1%
-0.10023355811
 
< 0.1%
0.15133692461
 
< 0.1%
0.11661762811
 
< 0.1%
0.00066697733871
 
< 0.1%
-0.16951754121
 
< 0.1%
Other values (2595)2595
99.0%
(Missing)4
 
0.2%
ValueCountFrequency (%)
-0.60290698611
< 0.1%
-0.50670008181
< 0.1%
-0.50607782161
< 0.1%
-0.48461538461
< 0.1%
-0.4639382251
< 0.1%
-0.43067286211
< 0.1%
-0.41479846421
< 0.1%
-0.41427853191
< 0.1%
-0.39584839691
< 0.1%
-0.38636363641
< 0.1%
ValueCountFrequency (%)
0.76235429071
< 0.1%
0.57514124291
< 0.1%
0.42049800531
< 0.1%
0.41468226461
< 0.1%
0.41333333331
< 0.1%
0.38267428471
< 0.1%
0.38195059961
< 0.1%
0.36377446651
< 0.1%
0.35865753081
< 0.1%
0.3580192121
< 0.1%

eventDate.date
Categorical

HIGH CARDINALITY
UNIFORM

Distinct227
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2014-10-04 00:00:00
 
22
2014-05-31 00:00:00
 
22
2014-06-28 00:00:00
 
21
2014-08-23 00:00:00
 
21
2018-04-15 03:00:00
 
14
Other values (222)
2522 

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row2008-07-19 00:00:00
2nd row2011-03-03 00:00:00
3rd row2013-04-27 00:00:00
4th row2013-04-27 00:00:00
5th row2013-04-27 00:00:00

Common Values

ValueCountFrequency (%)
2014-10-04 00:00:0022
 
0.8%
2014-05-31 00:00:0022
 
0.8%
2014-06-28 00:00:0021
 
0.8%
2014-08-23 00:00:0021
 
0.8%
2018-04-15 03:00:0014
 
0.5%
2016-02-27 00:00:0013
 
0.5%
2014-04-16 00:00:0013
 
0.5%
2014-04-19 00:00:0013
 
0.5%
2017-12-02 00:00:0013
 
0.5%
2014-05-10 00:00:0013
 
0.5%
Other values (217)2457
93.7%

Length

2022-05-17T19:57:52.579779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:002497
47.6%
04:00:0059
 
1.1%
03:00:0053
 
1.0%
2016-11-2024
 
0.5%
2014-10-0422
 
0.4%
2014-05-3122
 
0.4%
2014-06-2821
 
0.4%
2014-08-2321
 
0.4%
2018-04-1514
 
0.3%
2017-06-2513
 
0.2%
Other values (220)2498
47.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

winner
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
True
1707 
False
915 
ValueCountFrequency (%)
True1707
65.1%
False915
34.9%
2022-05-17T19:57:52.675786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

odd_diff
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct1100
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.416784897
Minimum-12.95
Maximum11.92
Zeros14
Zeros (%)0.5%
Negative1517
Negative (%)57.9%
Memory size20.6 KiB
2022-05-17T19:57:52.785795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-12.95
5-th percentile-4.129
Q1-1.6775
median-0.43
Q30.9275
95-th percentile3.08
Maximum11.92
Range24.87
Interquartile range (IQR)2.605

Descriptive statistics

Standard deviation2.304332333
Coefficient of variation (CV)-5.528828778
Kurtosis2.730524583
Mean-0.416784897
Median Absolute Deviation (MAD)1.3
Skewness-0.1279181472
Sum-1092.81
Variance5.3099475
MonotonicityNot monotonic
2022-05-17T19:57:52.934805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8315
 
0.6%
014
 
0.5%
-0.7113
 
0.5%
-0.4812
 
0.5%
-0.6411
 
0.4%
0.9910
 
0.4%
-0.8610
 
0.4%
-0.7810
 
0.4%
0.8510
 
0.4%
1.1410
 
0.4%
Other values (1090)2507
95.6%
ValueCountFrequency (%)
-12.951
< 0.1%
-11.761
< 0.1%
-11.431
< 0.1%
-11.421
< 0.1%
-10.661
< 0.1%
-10.411
< 0.1%
-8.921
< 0.1%
-8.92
0.1%
-8.891
< 0.1%
-8.781
< 0.1%
ValueCountFrequency (%)
11.921
< 0.1%
11.751
< 0.1%
9.661
< 0.1%
8.861
< 0.1%
8.31
< 0.1%
8.281
< 0.1%
7.871
< 0.1%
7.861
< 0.1%
7.831
< 0.1%
7.711
< 0.1%

fighter1_fightsAmount
Real number (ℝ≥0)

Distinct20
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.05453852
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2022-05-17T19:57:53.061814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile14
Maximum21
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.786116982
Coefficient of variation (CV)0.4700600751
Kurtosis-0.03237107072
Mean8.05453852
Median Absolute Deviation (MAD)3
Skewness0.4095902208
Sum21119
Variance14.3346818
MonotonicityNot monotonic
2022-05-17T19:57:53.179822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10269
10.3%
9246
9.4%
6241
9.2%
11238
9.1%
4237
9.0%
7236
9.0%
5223
8.5%
8194
7.4%
3146
 
5.6%
12131
 
5.0%
Other values (10)461
17.6%
ValueCountFrequency (%)
144
 
1.7%
2103
 
3.9%
3146
5.6%
4237
9.0%
5223
8.5%
6241
9.2%
7236
9.0%
8194
7.4%
9246
9.4%
10269
10.3%
ValueCountFrequency (%)
2114
 
0.5%
1911
 
0.4%
188
 
0.3%
1713
 
0.5%
1637
 
1.4%
1521
 
0.8%
14119
4.5%
1391
 
3.5%
12131
5.0%
11238
9.1%

fighter2_fightsAmount
Real number (ℝ≥0)

Distinct20
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.232265446
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2022-05-17T19:57:53.300830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile13
Maximum21
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.744182839
Coefficient of variation (CV)0.6007739675
Kurtosis0.3482495362
Mean6.232265446
Median Absolute Deviation (MAD)3
Skewness0.7694744888
Sum16341
Variance14.01890513
MonotonicityNot monotonic
2022-05-17T19:57:53.420841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4311
11.9%
2301
11.5%
3298
11.4%
5227
8.7%
6227
8.7%
7226
8.6%
9186
7.1%
8166
6.3%
11158
6.0%
10151
5.8%
Other values (10)371
14.1%
ValueCountFrequency (%)
1147
5.6%
2301
11.5%
3298
11.4%
4311
11.9%
5227
8.7%
6227
8.7%
7226
8.6%
8166
6.3%
9186
7.1%
10151
5.8%
ValueCountFrequency (%)
217
 
0.3%
198
 
0.3%
1810
 
0.4%
174
 
0.2%
1611
 
0.4%
1524
 
0.9%
1435
 
1.3%
1352
 
2.0%
1273
2.8%
11158
6.0%

odd1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct338
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.199836003
Minimum1.06
Maximum12.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2022-05-17T19:57:53.574853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.06
5-th percentile1.22
Q11.46
median1.8
Q32.55
95-th percentile4.4
Maximum12.99
Range11.93
Interquartile range (IQR)1.09

Descriptive statistics

Standard deviation1.167071558
Coefficient of variation (CV)0.5305266192
Kurtosis12.74754382
Mean2.199836003
Median Absolute Deviation (MAD)0.45
Skewness2.823306991
Sum5767.97
Variance1.36205602
MonotonicityNot monotonic
2022-05-17T19:57:53.741094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6747
 
1.8%
1.544
 
1.7%
1.6939
 
1.5%
2.539
 
1.5%
1.7136
 
1.4%
1.4335
 
1.3%
1.5933
 
1.3%
1.3332
 
1.2%
1.432
 
1.2%
231
 
1.2%
Other values (328)2254
86.0%
ValueCountFrequency (%)
1.061
 
< 0.1%
1.071
 
< 0.1%
1.082
 
0.1%
1.092
 
0.1%
1.15
 
0.2%
1.115
 
0.2%
1.122
 
0.1%
1.137
0.3%
1.1413
0.5%
1.154
 
0.2%
ValueCountFrequency (%)
12.991
< 0.1%
12.821
< 0.1%
10.751
< 0.1%
101
< 0.1%
9.41
< 0.1%
9.391
< 0.1%
92
0.1%
8.951
< 0.1%
8.791
< 0.1%
8.61
< 0.1%

odd2
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct387
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6166209
Minimum1.07
Maximum14.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2022-05-17T19:57:54.049116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.07
5-th percentile1.29
Q11.63
median2.23
Q33.13
95-th percentile5.35
Maximum14.05
Range12.98
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.420437146
Coefficient of variation (CV)0.5428517163
Kurtosis8.53801942
Mean2.6166209
Median Absolute Deviation (MAD)0.67
Skewness2.295968986
Sum6860.78
Variance2.017641687
MonotonicityNot monotonic
2022-05-17T19:57:54.203128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.541
 
1.6%
1.6738
 
1.4%
2.435
 
1.3%
2.133
 
1.3%
2.732
 
1.2%
2.2532
 
1.2%
230
 
1.1%
1.6128
 
1.1%
2.4528
 
1.1%
2.3527
 
1.0%
Other values (377)2298
87.6%
ValueCountFrequency (%)
1.072
 
0.1%
1.081
 
< 0.1%
1.091
 
< 0.1%
1.11
 
< 0.1%
1.111
 
< 0.1%
1.123
 
0.1%
1.132
 
0.1%
1.149
0.3%
1.156
0.2%
1.162
 
0.1%
ValueCountFrequency (%)
14.051
 
< 0.1%
12.821
 
< 0.1%
12.52
0.1%
11.751
 
< 0.1%
11.491
 
< 0.1%
10.011
 
< 0.1%
104
0.2%
9.52
0.1%
9.261
 
< 0.1%
9.171
 
< 0.1%

Interactions

2022-05-17T19:57:38.321166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:40.761535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:44.827358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:48.968811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:53.076657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:57.165843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:01.177144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:05.137525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:09.327774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:14.035394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:18.322715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:22.593261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:26.665568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:30.960932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:35.155262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:39.378892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:43.348371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:47.659606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:51.896996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:55.847519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:59.877331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:04.129761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:08.211501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:12.307106image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:16.810585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:21.020434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:24.915730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:29.269703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:34.383870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:38.440189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:40.930546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:44.957368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:49.098820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:53.207667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:57.292852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:01.301152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:05.259532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:09.471771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:14.188404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:18.473727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:22.721272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:26.790578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:31.105943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:35.278273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:39.506901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:43.478298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:47.796619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:52.021005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:55.971530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:00.041343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:04.249767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:08.355512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:12.619142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:16.939594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:21.139443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:25.051705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:29.403712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:34.518881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:57:38.554183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:41.054559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:45.069376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:49.216829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:53.323675image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:55:57.412873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:01.417161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-05-17T19:56:05.373543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-17T19:57:55.047850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-17T19:57:55.479895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-17T19:57:55.899914image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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A simple visualization of nullity by column.
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Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
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The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
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The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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Last rows

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